Francesco Cesarini, Author of Erlang Programming. Member of Program Advisory Board

Francesco Cesarini is an Erlang evangelist, having used the language on a daily basis for the last 15 years. He started his career as an intern at Ericsson's computer science lab, the birth place of Erlang, and went on to work with flagship Erlang projects both within and outside of Ericsson, including the R1 release of the OTP middleware and the AXD301 Switch. He has taught Erlang/OTP to hundreds of professionals and undergraduate students alike, using those experiences when co-authoring Erlang Programming, a book published by O'Reilly Media.

Soon after Erlang was released as Open Source, he founded Erlang Solutions (formerly known as Training and Consulting). With offices in the UK, Sweden, Poland (and soon the US), they have become the world leaders in Erlang based professional services, including consulting, contracting, support, systems development, certification and training. Their client base is spread on five continents and ranges from small start-ups to blue chip companies. In his role as CSO, he is currently leading the expansion of the company into new markets and product lines.

He is active in the Erlang community not only through regularly talks, seminars and tutorials at conferences worldwide, but also through his involvement in international research projects. He organises local Erlang user groups and with the help of his colleagues and runs the Trapexit Erlang community website.

You can follow FrancescoC on twitter.
Buy book here: Erlang Programming
Video presentation: Erlang Concurrency, What’s The Fuss?

Presentation: "Understanding Tradeoffs for Scalability"

Time: Tuesday 13:40 - 14:10

Location: Classic Car Club

Abstract:

Handling challenges associated with large-scale data systems requires making tradeoffs due to practical considerations such as latency, availability, and system reliability. In this talk Uwe will present a high-level overview of these issues and the theories behind the tradeoffs used to address them, and then show how riak_core, the distributed systems framework underlying Basho's Riak database, provides the key ingredients necessary to realize these tradeoffs and achieve the scalability required for today's large data systems.